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Pioneering Medical Diagnosis - Neuro-Fuzzy Systems and Swarm Intelligence in Healthcare Applications


Affiliations
1 Department of Mathematics, Manonmaniam Sundaranar University, India
2 Department of Mathematics, Lekshmipuram College of Arts and Science, India

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This study introduces a hybrid approach for lung cancer detection, combining Neuro-Fuzzy Systems for robust feature extraction and the Firefly Algorithm for accurate classification of lung nodules as benign or malignant. The methodology is validated through comprehensive experiments using standard datasets and compared against established techniques like SVM-ANN and RBF-PSO. The research highlights the interpretability and learning capabilities of Neuro-Fuzzy Systems and the effectiveness of the Firefly Algorithm in medical image classification, showcasing improvements in accuracy and reliability over traditional methods.

Keywords

Healthcare, Diagnosis, Medical, Fuzzy System, Swarm Intelligence
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  • Pioneering Medical Diagnosis - Neuro-Fuzzy Systems and Swarm Intelligence in Healthcare Applications

Abstract Views: 95  | 

Authors

S.G. Sree Lekshmi
Department of Mathematics, Manonmaniam Sundaranar University, India
M. Sankari
Department of Mathematics, Lekshmipuram College of Arts and Science, India

Abstract


This study introduces a hybrid approach for lung cancer detection, combining Neuro-Fuzzy Systems for robust feature extraction and the Firefly Algorithm for accurate classification of lung nodules as benign or malignant. The methodology is validated through comprehensive experiments using standard datasets and compared against established techniques like SVM-ANN and RBF-PSO. The research highlights the interpretability and learning capabilities of Neuro-Fuzzy Systems and the effectiveness of the Firefly Algorithm in medical image classification, showcasing improvements in accuracy and reliability over traditional methods.

Keywords


Healthcare, Diagnosis, Medical, Fuzzy System, Swarm Intelligence